I designed 71 AI agents with nothing but text, here's the instruction design system I ended up with.

What good declarative AI agent design actually looks like — the patterns, the constraints, and the failures that shaped a library of 71 production-ready Copilot Studio agents. Most AI agent tutorials start with code. Python, LangChain, API calls, tool schemas. This one has none of that. Over the past few months, I designed and published 71 AI agents for Microsoft 365 Copilot Studio. No code. No Azure resources. No connectors. Each agent is a single text file — a structured instruction set that you paste into a field in a browser. The agent is available to your entire team within minutes. The interesting part isn't the volume. It's what designing 71 of them taught me about instruction engineering — the discipline of writing AI instructions that produce consistent, trustworthy, and useful outputs in production. Here's the design system I ended up with. What a declarative agent actually is Microsoft 365 Copilot Studio has two modes. The advanced mode lets you build agents with actions, co